Go Min Jin, Lee Young, Park Suyeon, Kwak Soo Heon, Kim Bong-Jo, Lee Juyoung
Division of Structural and Functional Genomics, The Center for Genome Science, Korea National Institute of Health, KCDC, Osong, Republic of Korea.
Department of Biostatistics, Soonchunhyang University, College of Medicine, Seoul, Republic of Korea.
J Hum Genet. 2016 Dec;61(12):1009-1012. doi: 10.1038/jhg.2016.93. Epub 2016 Jul 21.
To date, genome-wide meta-analyses have identified genetic susceptibility to type 2 diabetes mellitus (T2D) predominantly in populations of European ancestry. However, comprehensive genetic-risk assessment based on previous GWAS loci has not been fully tested in non-European populations. To evaluate whether a genetic-risk score (GRS) could improve T2D-risk prediction in the Korean population, a GRS (GRS-55) was constructed by summing 55 risk alleles based on the 1000 Genomes imputation in the Korean Association Resource study (T2D cases=1042 and controls=2943 at baseline). We also constructed another GRS (GRS-19) based on nominal significance and consistent direction of effect. In mean difference tests, the mean value of the GRS-19 was significantly higher in T2D cases than in controls at baseline examination. In a model adjusted for area, age, sex and body mass index, weighted GRS-19 was found to be associated with enhanced effect sizes of T2D risk under consistent C-statistics. In addition, we confirmed cumulative risk effects on incidence rates of T2D, fasting plasma glucose and glycated hemoglobin (HbA1c) levels in a longitudinal 10 year of follow-up study. These findings highlight that a genotype score comprised of 19 common variants contributed to T2D-risk prediction in the Korean population. Further multi-locus epistatic interactions may provide the possibility to improve risk prediction in C-statistics for discrimination or reclassification.
迄今为止,全基因组荟萃分析已确定2型糖尿病(T2D)的遗传易感性主要存在于欧洲血统人群中。然而,基于先前全基因组关联研究(GWAS)位点的全面遗传风险评估在非欧洲人群中尚未得到充分验证。为了评估遗传风险评分(GRS)是否能改善韩国人群中T2D风险预测,在韩国关联资源研究(基线时T2D病例 = 1042例,对照 = 2943例)中,基于千人基因组推算,通过对55个风险等位基因求和构建了一个GRS(GRS - 55)。我们还基于名义显著性和一致的效应方向构建了另一个GRS(GRS - 19)。在均值差异检验中,基线检查时T2D病例中GRS - 19的平均值显著高于对照组。在调整了地区、年龄、性别和体重指数的模型中,发现在一致的C统计量下,加权GRS - 19与T2D风险的效应大小增强相关。此外,在一项为期10年的纵向随访研究中,我们证实了对T2D发病率、空腹血糖和糖化血红蛋白(HbA1c)水平的累积风险效应。这些发现突出表明,由19个常见变异组成的基因型评分有助于韩国人群中T2D风险预测。进一步的多位点上位相互作用可能为改善用于鉴别或重新分类的C统计量中的风险预测提供可能性。